Methods and Applications of Data Mining in Business Domains-Reference-Cited by-同舟云学术

Methods and Applications of Data Mining in Business Domains

Published:2023-09-28 Issue:19 Volume:13 Page:10774
ISSN:2076-3417
Container-title:Applied Sciences
language:en
Short-container-title:Applied Sciences

Author:

Amrit Chintan¹²^ORCID,Abdi Asad³^ORCID

Affiliation:

1. Department of Operations Management, Amsterdam Business School, University of Amsterdam, P.O. Box 15953, 1001 NL Amsterdam, The Netherlands

2. LM Thapar School of Management, Dera Bassi Campus, Chandigarh 140507, India

3. Department of Computing and Mathematics, Faculty of Science and Engineering, University of Derby, Derby DE22 1GB, UK

Abstract

This Special Issue invited researchers to contribute original research in the field of data mining, particularly in its application to diverse domains, like healthcare, software development, logistics, and human resources [...]

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Link

https://www.mdpi.com/2076-3417/13/19/10774/pdf

Reference27 articles.

1. van der Spoel, S. (2016). Prediction Instrument Development for Complex Domains. [Ph.D. Thesis, University of Twente].

2. Predictive analytics for truck arrival time estimation: A field study at a European distribution centre;Amrit;Int. J. Prod. Res.,2017

3. Soft systems methodology;Checkland;Hum. Syst. Manag.,1989

4. System dynamics, systems thinking, and soft OR;Forrester;Syst. Dyn. Rev.,1994

5. Cao, L., Yu, P.S., Zhang, C., and Zhao, Y. (2010). Domain Driven Data Mining, Springer.

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